Security Scan Report: agof.de

Submitted: Sep 8, 2026, 11:01:38 PMCompleted: Sep 8, 2026, 11:02:52 PMpubliccompleted

Summary

This website contacted 1 IP in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is agof.de.

Submitted URL: https://agof.de

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

The site shows its own brand, has no forms or malicious indicators, and appears legitimate.

Safety Factors
Self-branding aligns with domain
No forms or credential collection
No malicious IoCs or IDS alerts
Positive legitimacy indicator (physical address)
Domain age information unavailable

Details

Page Title

agof - Zusammenschluss der führenden Online-Vermarkter in Deutschland.

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

social media network

(93%)

Domain Information

Within the German country-code top-level domain (.de), 'agof.de' is registered while skipping any subdomain. Count 4 characters in 'agof' holding 2 vowels versus 2 consonants. Segmentation suggests 2 words: ag, of. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://agof.de

Page Load Overview

6.77s
Total Load Time
40
HTTP Requests
2
Domains
408 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de-DE
Text Length:802 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network93% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
93%
corporate
35%
corporate business
25%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4092.205.148.23Strasbourg, Grand Est, France
AS21499Host Europe GmbH
401--

Page Statistics

40
Requests
2
Unique Domains
512.8 KB
Total Size

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CE130971E059487B366B53ACE165F319A1E9D002CA05EBA5B5FCA16C9FD8DF304B320E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:88gYnV30IGZdapILxkL5PVCGRppp+ooQZRhgizmZQrj+8rKH33s:88gQ0apmxkL5PgAppp+ooQroZQrj+8rL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:43296:FZyFVDDNYwEgSIqABMA8AQKNxwKJxWpSt4VYNCAQAo5EEUC4oUFg4ChAChzAlBAgKgoQWVDKIisYCalI04dAQJAEAQkBQQsQ

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:1fff00007c7c7e00
Perceptual Hash:92ada7833f353852
Difference Hash:fff1bb33d8d8dcec
Wavelet Hash:1fff01807c7e7e00
Color Hash:#785f3a

Scan History

Scan history not available

Unable to load historical scan data